Digital transformation in Moroccan agriculture: Applications, used technologies, impacts on marketing, limitations, and orientations for future research

IF 6.3 Q1 AGRICULTURAL ENGINEERING
Mohammed Fakhraddine , Najib Zerrad , Hicham Berhili , Meryeme Morchid
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Abstract

Integration of digital knowledge in the agricultural field presents a prospect to enhance the ascendancy of agricultural strategy and stimulate economic progress in Morocco through the dissemination of information, decision-making tools, and transmission methodologies. This study aimed to review current data on digital transformation in the agriculture field of Morocco. We presented a literature review on digital technologies and agriculture in Morocco from 1990 to 2025. We used related keywords, and data was recorded from databases, governmental sites, and published documents. The results obtained showed that in Morocco, digital transformation was adopted in the last decade of the 21st century, with applications in different fields, including education, finance, health, administration, etc. Various digital technologies have been implemented in agriculture, including Big Data Analytics (BDA), Blockchain, Unmanned Aerial Vehicles (UAVs), Deep Learning (DL), Unmanned Ground Vehicles (UGVs), Information and Communications Technologies (ICT), Machine Learning (ML), Cloud Computing (CC), Artificial Intelligence (AI), robotics, and the Internet of Things (IoT). These technologies have addressed different fields, including production, farming, logistics, marketing, export, and improved services, visibility, tracking of products, and commercialization. In Morocco, any endeavours by relevant authorities or stakeholders to promote and develop automated agriculture through the integration of new technologies have much ground to make up compared to the top spots in the sector. As a result, we suggested areas that need more improvement in terms of research,  farmer awareness, and activities. This study summarizes for the first time data concerning digital transformation in agriculture and suggests it as a reference for future research and to farmers and cooperatives in Morocco.
摩洛哥农业的数字化转型:应用,使用的技术,对市场的影响,限制和未来研究的方向
农业领域的数字知识整合,通过信息、决策工具和传输方法的传播,为加强农业战略的优势和刺激摩洛哥的经济发展提供了前景。本研究旨在审查摩洛哥农业领域数字化转型的当前数据。我们对1990年至2025年摩洛哥的数字技术和农业进行了文献综述。我们使用了相关的关键词,并从数据库、政府网站和发表的文件中记录了数据。所获得的结果表明,摩洛哥在21世纪的最后十年采用了数字化转型,并应用于不同领域,包括教育、金融、卫生、行政等。各种数字技术已经在农业中实施,包括大数据分析(BDA),区块链,无人机(uav),深度学习(DL),无人驾驶地面车辆(ugv),信息和通信技术(ICT),机器学习(ML),云计算(CC),人工智能(AI),机器人技术和物联网(IoT)。这些技术涉及不同的领域,包括生产、农业、物流、营销、出口,以及改进的服务、可见性、产品跟踪和商业化。在摩洛哥,有关当局或利益攸关方通过整合新技术促进和发展自动化农业的任何努力,与该部门的领先地位相比,都有很大的差距。因此,我们提出了在研究、农民意识和活动方面需要进一步改进的领域。本研究首次总结了有关农业数字化转型的数据,并建议将其作为未来研究以及摩洛哥农民和合作社的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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